This kind of funny as the chief medical officer says he’s not real sure about it:) We we know what happened with that Master Card Steroid Marketing Plan, here’s one more that was sold and duped. What they are worried about here is the fact that they need to match up those who can use care management services better, in other words predict. Now if this were something people were breaking the doors down to get it might be a little different. As the article states those who did volunteer on their own before this big “dupe” in predictive analytics takes place were retired people. That’s not good enough and they want more from other age groups so here we go to mine that data, look at those MasterCard Charge transactions and try to predict…well good luck as this is a waste of time. The link below talks about “The Scoring of America” and that’s exactly what this process is set up to do along with “scoring” people here so one more living in The Grays.
World Privacy Forum Report - The Scoring of America: How Secret Consumer Scores Threaten Your Privacy and Your Future - One Big Element that Fuels the Continued Attack of Killer Algorithms & Demise of the Middle Class Creating Profiteering And/Or Denial of Access
Same old stuff, send off to a modeler, who by the way according to the article gets to keep his proprietary formulas and just tell the Alliance which are going to end up in the ER, not take their meds, etc. Wonder if they are going to pull out that ridiculous FICO medication adherence scoring, but no mention of that proprietary scoring formula here.
FICO Medication Adherence Scoring Should Be Banned As It’s Quantitated Justifications for Profit That Hurts US Consumers Using Proprietary Algorithms That Cannot Be Replicated For Accuracy or Audited
I used to work with data and sure you can find patterns that lead to to predict a lot of things but folks are so over sold on this and besides that it pisses people off as there’s no privacy. In fact you read on the web everybody is jumping in when in fact the quiet and unspoken move of the consumers in the real world is to work to stay off the radar.
The Quiet and Unspoken Consumer Movement to Stay Off the Radar - Contrary To All You Read About Sensors, Apps and Wearables, More Folks Are Running for the Exit Doors…
Maybe they should pair up with these duped folks at this hospital here too who got soaked by MasterCard in believing they “just had to have that data” .
Oh Crap, Now Hospitals Are Now Buying Data From Acxiom - Data Selling Epidemic Continues to Evade on Personal Privacy As “Algo Duped-Stat Rat” People Try to Implement Virtual Models That Won’t Work…
I said about 2 years ago that about half of the analytics would a waste of money and you have another one going here so maybe the pilot will give them the answer they are looking for as every proof of concept is NOT a good model. Being the modelers get to keep their formulas, maybe they can peddle it again without having to start from scratch (grin).
“On Being a Data skeptic- Modelers Have A Bigger Responsibility Now Than Ever Before”–A Must Read Essay, Start “Sniffing the Data”…
For more on what goes on with mathematicians, quants, and modelers, check out the Killer Algorithms page to learn when to be a skeptic as sometimes when they are stumped on numbers, they pull one off their head, love to hear Quants say that’s what they do but they do as expectations are so high that they can pull of math miracles too.
Here’s Paul Wilmott, Quant on topic here, we get all kinds of nonsense and it “goes from the sublime to the ridiculous. BD
Michael Cantor, chief medical officer for the New England Quality Care Alliance, has a dilemma. Resources are scarce for care management of patients who the alliance would like to help with their weight, diabetes, or other complex or chronic conditions; and yet it's difficult to predict which patients will be receptive to a care manager.
So he needs to better predict who will use those services, and who will benefit most. That's why the Alliance is piloting a program to marry clinical data with consumer data. The combination, it thinks, might allow for better targeting and prediction.
In the pilot program, the network will send its health data to a modeler, which will pair that information with consumer data, such as credit card and Google usage. The modeler doesn't necessarily have a hypothesis going in, Cantor said.
“They're identifying correlations between the consumer data and healthcare outcomes,” he said.
The modelers won't necessarily give Cantor's group the key predictive attributes; they'll give the network a list. “Here's a list of 100,000 people: who's likely to end up in the ER, who's likely to take their medicines. They're still early on; it's not like there's a definitive model,” he explained.